If you want to learn how to train a model in FP16, why it's so much faster and the tricks to make it work, this video is a great resource: https://t.co/ZyqS0X3dmR
— Sylvain Gugger (@GuggerSylvain) August 9, 2018
If you want to learn how to train a model in FP16, why it's so much faster and the tricks to make it work, this video is a great resource: https://t.co/ZyqS0X3dmR
— Sylvain Gugger (@GuggerSylvain) August 9, 2018
Remember that airline overbooking fiasco? Perhaps there’s a way to predict (and avoid) another knock-down, drag-out in the future. 🙏That’s what @CoryMSimon and his #simonensemble colleagues explore w/ this Monte Carlo simulation of airline overbooking. https://t.co/OmEJFCuNaT pic.twitter.com/CYNZQcO9b9
— Kaggle (@kaggle) August 9, 2018
💡 Good diagrams make learning so much easier…
— Mara Averick (@dataandme) August 9, 2018
📚 @kjhealy's books are full of 'em!
🔤 https://t.co/addXz15ubi
📊 https://t.co/yhiy1udS1k pic.twitter.com/z7RTOePlSU
I have not watched all the videos, but the Facebook Field Guide to Machine Learning looks quite good https://t.co/gpbMy1vhxk
— Drew Conway (@drewconway) August 7, 2018
If you missed @lucystats talk at #JSM2018, you can still view her awesome slides on how to access APIs from R remotely! https://t.co/wJw9Q6Hmht pic.twitter.com/6JT3OqqNoo
— Kaggle (@kaggle) August 7, 2018
Check out these complete code examples for Machine Translation with Attention, Image Captioning, Text Generation, and DCGAN, all implemented with tf.keras and eager execution.
— TensorFlow (@TensorFlow) August 7, 2018
Read @yashk2810's post here ↓ https://t.co/U8D6Aw6W4p
New Blogpost: Building SAGA Optimization for Dask Arrayshttps://t.co/t26cpIKaT7
— Dask (@dask_dev) August 7, 2018
This was an educational experience building an optimization algorithm using dask.delayed with @fpedregosa at @UCBIDS pic.twitter.com/YMVBnQGQRB
Variational Inference: A Review for Statisticians [41pp]
— ML Review (@ml_review) August 7, 2018
By @blei_lab
Mean-field variational inference
Bayesian mixture of Gaussians
Variational inference with exponential familieshttps://t.co/uGI8awaWZ2 #MachineLearning
📈 easily-modded survival curves & tables…
— Mara Averick (@dataandme) August 7, 2018
"Plotting survival curves w/ the survsup 📦" by Daniel Lindholmhttps://t.co/vtoETYvDNX #rstats #dataviz pic.twitter.com/RNy9VGF3Zv
📄 Get to know tempdir() & tempfile() - 💯 useful:
— Mara Averick (@dataandme) August 6, 2018
📁 "…[T]emporary directories and files in R and how to use them" by @matrunich https://t.co/PDJmv6Ip7T #rstats pic.twitter.com/OEG9zmeodh
ICYMI, 💘🤓 slides code and more from @robjhyndman's forecasting workshop!
— Mara Averick (@dataandme) August 4, 2018
📈 https://t.co/glpxPafm5T #rstats #forecasting pic.twitter.com/STmZglOVNu
Deriving the nearest neighbor graph from the Delaunay triangulation. https://t.co/TWzwoDn7OB
— Mike Bostock (@mbostock) August 3, 2018